Part 1: Star Wars Character

CHEWBACCA

A famouse quote by Chewbacca:

“It’s not wise to upset a Wookiee.”

I decided to pick the main picture on the Wiki page:

Table with more information on Chewbacca

Descrition Chewbacca
Species Wookiee
Gender Male
Eye Colour Blue
Skin Colour Gray

Part 2: COOKING RECIPE

Marbled Raspberry Pound Cake

Ingredients needed to make the Pound Cake:

“Special” kitchen tools needed:

Recipe:

  1. Heat oven to 350 degrees F. Coat loaf pan with nonstick baking spray or butter.
  2. Place sugar, salt, lemon zest & butter in a bowl, and mix with an electric mixer.
  3. Add eggs gradually to mix.
  4. Place & mash rasberries in a bowl.
  5. Pour half of the mix on rasberries.
  6. Add sour cream to the other half and beat the mix.
  7. Beat the mix with the rasberries and add some flour.
  8. Place small amounts of both mixes on a baking pan.
  9. Bake cake for an hour.
  10. Let cake cool to room temperature for 15 minutes.
  11. Put powdered sugar, rasberry puree & lemon juice into a bowl and mix.
  12. Drizzle this onto the cake, & Enjoy!

Image of The Dish:

This dish is best enjoyed in the summers due to the fresh and vibrant flavours of the fresh raspberries!

Variations

Instead of the raspberry, other vibrant and flavourful fruits like strawberry and lemon can be used for the pound cake!

Part 3: Euclidean Distance

#Definition

The Euclidean distance between points p and q is the length of the line segment connecting them (\(\overline{pq}\))

In Cartesian coordinates, if p = \((p_1, p_2,..., p_n)\) and q = \((q_1, q_2,..., q_n)\) are two points in Euclidean n-space, then the distance (d) from p to q, or from q to p is given by the Pythagorean formula:

\[ d(p,q) = d(q,p) = \sqrt{ {q_1 - p_1}^2 + {q_2 - p_2}^2 + ... + {q_n - p_n}^2 } \] \[ = \sqrt{ \sum_{i=1}^{n} {q_i - p_i}^2 }. \]

The position of a point in a Euclidean n-space is a Euclidean vector. So, p and q may be represented as Euclidean vectors, starting from the origin of the space (initial point) with their tips (terminal points) ending at the two points. The Euclidean norm, or Euclidean length, or magnitude of a vector measures the length of the vector:

\[ \lVert{p}\rVert = \sqrt{ {p_1}^2 + {p_2}^2 + ... + {p_n}^2 } = \sqrt{p.p} \]

where the last expression involves the dot product.